Methods of beam-indexed spatial modulation

ABSTRACT

This invention provides methods of beam-indexed spatial modulation (BISM) for multiple-input and multiple-output (MIMO) technology. It does not only enhance the efficiency of MIMO using, but also address the compatibility problems in Spatial Modulation (SM-MIMO) and Orthogonal Frequency Division Multiplexing Index Modulation (OFDM-IM). Furthermore, the BISM improves the speed limitation problem and spectral efficiency issue in the current spatial modulation architectures.

CROSS-REFERENCE TO RELATED APPLICATIONS

This Non-provisional application claims priority under 35 U.S.C. § 119(a) on Patent Application No(s). [TW106113519] filed in Taiwan, Republic of China [Apr. 21, 2017], the entire contents of which are hereby incorporated by reference.

ABSTRACT

This invention provides methods of beam-indexed spatial modulation (BISM) for multiple-input and multiple-output (MIMO) technology. It does not only enhance the efficiency of MIMO using, but also address the compatibility problems in Spatial Modulation (SM-MIMO) and Orthogonal Frequency Division Multiplexing Index Modulation (OFDM-IM). Furthermore, the BISM improves the speed limitation problem and spectral efficiency issue in the current spatial modulation architectures.

FIELD OF THE INVENTION

This invention relates to methods of beam-indexed spatial modulation provided, in particular, for MIMO.

BACKGROUND OF THE INVENTION

The demand for wireless telecommunication performance is increasing rapidly. People not only request for a higher speed communication, but also want to enjoy a wide and diverse coverage of services. Because of these demands, researchers have been looking for new technologies to improve the efficiency on communication. The efforts have been put to obtain a higher degree of spectral and energy efficiencies, and/or be able to flexibly adjust the combinations of the two. It is necessary to improve the flexibility and efficiency in systems used in the telecommunication.

It is believed that the technology of index modulation (“IM”) for multiple-input and multiple-out (“MIMO”) and multiple carriers are both of potential to be adopted in the next generation wireless communication systems. In the past few years, the IM related researches have gained more and more attention because of the theoretical advantages. In the context of IM, the indices of the resources in a considered communication system are used to convey additionally information bits. Thus, it facilitates the digital modulation scheme to achieve higher spectral and energy efficiencies.

The two state-of-the-art applications for IM are 1) spatial modulation (“SM”) and 2) orthogonal frequency division multiplexing with IM (“OFDM-IM”) schemes. In the respect of SM, the corresponding index modulated building blocks are the transmit antennas of a MIMO system. As to OFDM-IM, the corresponding index modulated building blocks are the subcarriers of an OFDM system.

The two above applications are problematic. The SM relies on combinations of antennas to carry out index modulation. However, it requires hardware components to switch the selected antennas on-and-off and consequently limits the processing speeds substantially. Further, SM is incompatible to OFDM-based communication systems because the antennas' switching would affect all of the subcarriers simultaneously. This incompatibility issue makes SM unfit for current communication systems. As for OFDM-IM, it does not efficiently exploit the degree-of-freedom which MIMO can provide.

Terminologies and Definition Massive MIMO

MIMO is a technology that transmits signals individually via each antenna at a transmitter end and individually receiving and recovering the signals via each antenna at a receiver end. In the mobile phone technology, the number of antennas in a base station (i.e. a transmitter end) is usually more than the number of mobile phone terminals (i.e. receiver ends).

According to the study of 5G telecommunication, massive MIMO technology is advantageous. It will not only accommodate for more mobile terminals because of its high transmission speed, but also reduce power consumptions while maintain its stability.

Antenna Selection

It is to select the most “favorable” antenna(s) (for transmit-receive links) while turning off the rest. The selection is made based on, for instance, the maximum signal-to-noise ratio, channel diversity or maximum channel capacity, etc

Spatial Modulation MIMO (SM-MIMO)

SM-MIMO maps the information bits into the index modulated symbol corresponding to an active antenna index. Thereby, the antenna array pattern can be interpreted as a spatial constellation diagram.

Conventionally, modulation techniques map a fixed number of information bits into one M-QAM symbol. Each symbol represents a constellation point in the complex, two dimensional signal space. The SM-MIMO extends the two dimensional signal space into a third dimension, i.e. the spatial dimension. The receiver detects the symbol and the number of the active antennas; then it de-maps the original information bits. Mesleh et al. and Jeganathan et al. inspirit the development of SM. Ever since then numerous of papers discussing about SM have been published. These prior arts focus on generalized, spectral and energy-efficient SM technologies and low-complexity detector types.

Assuming N_(T) is the number of available antennas for transmission, n_(T)=1 is the number of selected active antenna and M is the order of M-ary QAM constellation. The achievable spectral efficiency R is:

R=log₂(N _(T))+log₂(M)bps

The value R represents how much data volume can be transmitted in a given bandwidth of the communication system. By using a single RF chain, SM is of lower complexity and high degree of energy efficiency. Further, SM also solves issues such as inter-channel interference (ICI), inter-antenna synchronization (IAI) and multiple RF chains occurred at the transmitter.

A BER comparison of SM-MIMO with VBLAST MIMO and the maximum ratio combining (MRC) MIMO is depicted in FIG. 1. As shown, the performance of SM-MIMO is better than the others.

Generalized Spatial Modulation MIMO (GSM-MIMO)

FIG. 2 shows an GSM-MIMO block diagram under which more than one antennas are activated (i.e. n_(T)≥1). M-QAM symbols are transmitted on the activated antennas. The SM therefore becomes “generalized” SM and the spectral efficiency R is:

$R = {\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{T} \\ n_{T} \end{pmatrix}} \right\rfloor + {n_{T}{\log_{2}(M)}}}$

where └ ┘ represents the floor operation.

An GSM encoding example is shown in Table 1 where N_(T)=4 and n_(T)=3. The spatial bits (i.e. information bits) are mapped to the indices of the active antennas and x₁, . . . , x₄ are QAM symbols.

TABLE 1 GSM Encoding Example Indices of Active Spatial GSM Antennas Bits codeword 2, 3, 4 00 [0, x₂, x₃, x₄]^(T) 1, 3, 4 01 [x₁, 0, x₃, x₄]^(T) 1, 2, 4 10 [x₁, x₂, 0, x₄]^(T) 1, 2, 3 11 [x₁, x₂, x₃, 0]^(T)

GSM-MIMO technology helps reduce the number of active antennas for transmission; consequently the energy efficiency is improved. Further, when different numbers of antennas are activated, the choices between the energy efficiency and the spectral must be traded off In GSM-MIMO, the sacrifice of spectral efficiency is compensated by the index modulation symbols. Moreover, GSM-MIMO requires only a single RF chain but can achieve a higher degree of diversity gain because it can transmit the same symbol over the active antenna(s).

Orthogonal Frequency Division Multiplexing—Index Modulation (OFDM-IM)

The idea of applying IM to OFDM architecture is proposed that using subcarrier indexing in the modulation. It has drawn attention in recent years as an alternative to the conventional OFDM. Issues such as error performance, capacity analysis for OFDM-IM and its applications on various wireless telecommunications are discussed in some newly published articles. They are incorporated as references to this invention.

FIG. 3 illustrates a block diagram of OFDM-IM where a subset of available subcarriers is selected to be active based on the information bits. The unselected subcarriers (i.e. which are inactive) are set to zero. Assuming an OFDM system has N subcarriers. The N subcarriers are divided into a number of G OFDM-IM sub-blocks which is smaller and manageable. Each sub-block contains a number of N_(c) subcarriers to perform IM, where N=G×N_(c).

For each sub-block, n₀ out of N_(c) available subcarriers are selected to be active subcarriers based on the p₁ index selection bits. Each active subcarriers sends M-QAM modulation symbols according to the p₂ modulation bits. For each OFDM-IM frame, its spectral efficiency R is:

$\mspace{76mu} {R = {\left( {\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{c} \\ n_{0} \end{pmatrix}} \right\rfloor + {n_{0}{\log_{2}(M)}}} \right)G}}$ ${{{where}\mspace{14mu} p_{1}} = {\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{c} \\ n_{0} \end{pmatrix}} \right\rfloor \mspace{14mu} \left( {{bits}\text{/}{Hz}} \right)}},{{{and}\mspace{14mu} p_{2}} = {n_{0}\mspace{14mu} \log_{2}M\mspace{14mu} {\left( {{bits}\text{/}{Hz}} \right).}}}$

An uncoded BER performance of a MIMO-OFDM-IM and a typical MIMO-OFDM for three MIMO configurations n_(T)×n_(R)=2×2; 4×4, and 8×8 are illustrated in FIG. 4. The OFDM system parameters are M=2 (BPSK), N=4, K=2, N_(F)=512, CP length=16. The frequency-selective Rayleigh fading channel is modeled with 10 taps. The system applies the successive MMSE detection in the receiver.

SUMMARY OF INVENTION

In view of the problems occurred in the current SM-MIMO and OFDM-IM communication systems, this invention presents the method of beam-indexed spatial modulation for a MIMO module. The MIMO module has a transmitter end and a receiver end.

One embodiment of the present invention includes the following steps (shown in FIG. 5).

Step (a) confirming that the MIMO module has a plurality of beams, which number is N_(B), each of the beams is an individual channel constituted by the antennas at the transmitter end and the antennas at the receiver end.

Step (b) providing an index to the N_(B) beams through a channel matrix H. In one embodiment, the index may be represented either by M-ary quadrature amplitude modulation symbols or spatial bits, which preferably are in binary. The channel matrix H can be decomposed by the singular value decomposition and represented by

$H = {{UAV}^{H} = {\sum\limits_{i = 1}^{N_{B}}\; {\sigma_{i}u_{i}v_{i}^{H}}}}$

where U and V are unitary matrices, Σ is N_(B)×N_(B) diagonal matrix with singular values σ₁, σ₂, . . . , σ_(N) _(B) of the MIMO module.

In another embodiment, the channel matrix H can also be decomposed by the angular steering vectors and represented by

$H = {\sum\limits_{i = 1}^{N_{B}}\; {a_{i}{e_{r}\left( \Omega_{ri} \right)}{e_{t}^{*}\left( \Omega_{ti} \right)}}}$

where a_(i) is an attenuation of the i-th beam, e_(i)(Ω_(ti)) is a angular steering vector of angle of departure representing by

${e_{t}\left( \Omega_{ti} \right)} = {\frac{1}{\sqrt{N_{T}}}\left\lbrack {1,{\exp \left( {{- j}\; 2{\pi\Delta}_{t}\Omega_{ti}} \right)},{\exp \left( {{- j}\; 2{\pi 2\Delta}_{t}\Omega_{ti}} \right)},\ldots,{\exp \left( {{- j}\; 2{\pi \left( {N_{T} - 1} \right)}\Delta_{t}\Omega_{ti}} \right)}} \right\rbrack}^{T}$

e_(r) (Ω_(ri)) is a angular steering vector of angle of arrival representing by

${e_{t}\left( \Omega_{ti} \right)} = {\frac{1}{\sqrt{N_{T}}}\begin{matrix} \left\lbrack {1,{\exp \left( {{- j}\; 2{\pi\Delta}_{r}\Omega_{ri}} \right)},{\exp \left( {{- j}\; 2{\pi 2\Delta}_{r}\Omega_{ri}} \right)},\ldots,} \right. \\ \left. {\exp \left( {{- j}\; 2{\pi \left( {N_{R} - 1} \right)}\Delta_{r}\Omega_{ri}} \right)} \right\rbrack^{T} \end{matrix}}$

where Δ_(i) is the distance between two of the antennas at the transmitter end, Δ_(r) is the distance between two of the antennas at the receiver end, Ω_(ti)=cos(φ_(ti)) is cosine of the angle of departure at the transmitter end, and Ω_(ri)=cos(φ_(ri)) is cosine of the angle of arrival at the receiver end.

Step (c) evaluating communication statuses of the beams and selecting a plurality of sub-channels, which number is n_(B), out of the channels as transmit beams to transmit. In one embodiment, the number of transmit beams equals to the number of sub-channel (i.e. n_(B)) plus one. Preferably, the index includes a zero bit to represent those unselectedsub-channels. Transmitting a signal and the index via the transmit beams at the transmitter end.

Step (d) receiving and recognizing the index at the receiver end, and further receiving the signal via the transmit beams at the receiver end.

Unlike SM architectures, BISM is compatible with OFDM and the index modulation can be implemented in the baseband at symbol rate which is as fast as the sampling rate. With comparison to OFDM-IM, BISM exploits the degrees-of-freedom of the MIMO channels and the spectral efficiency is further improved.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a BER comparison of SM-MIMO with VBLAST MIMO detection scheme and maximum ratio combining (MRC) MIMO detection scheme.

FIG. 2 shows an GSM-MIMO block diagram under which more than one antennas are activated (i.e. n_(T)≥1) and M-QAM symbols are transmitted on the activated antennas.

FIG. 3 illustrates a block diagram of OFDM-IM where a subset of available subcarriers is selected to be active based on the information bits.

FIG. 4 illustrates an uncoded BER performance of a MIMO-OFDM-IM and a typical MIMO-OFDM schemes for three MIMO configurations n_(T)×n_(R)=2×2; 4×4, and 8×8.

FIG. 5 shows a flow chart of the present invention.

FIG. 6 illustrates a scheme of performing antenna-index modulation on SM-MIMO.

FIG. 7 shows a scheme of performing subcarrier-index modulation on OFDM-IM.

FIG. 8 shows a BISM scheme of the present invention.

FIG. 9 shows an example of performing BISM on MIMO-OFDM.

FIG. 10 exemplarily demonstrates performing BISM on MIMO.

FIG. 11 illustrates the degrees of BER performance in both conventional MIMO and BISM scenarios.

FIG. 12(a) shows trade-off between SE and EE.

FIG. 12(b) illustrates trade-off between SE and EE in the condition where there are eight data stream (N_(S)=8) and the active data streams n_(B) are 8, 7, . . . and 1

FIG. 13 shows ergodic capacities of a conventional MIMO and MIMO-BISM systems in view of various SNR.

FIG. 14 shows an exemplary system of applying BISM to a conventional MIMO

FIG. 15 is a block diagram showing how to apply BISM into a MIMO-OFDM having N subcarriers.

FIG. 16 is an example of applying BISM to a MIMO-OFDM system.

FIG. 17 is an exemplary joint design of BISM and OFDM-IM system.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 6 illustrates a scheme of performing antenna-index modulation on SM-MIMO. As mentioned, SM requires hardware components to switch among the selected antennas. The speed of spatial bits (i.e. index modulation bit) is therefore suffered. Further, the SM-MIMO is incompatible with OFDM-based communication systems because the subcarriers are affected by the antenna switching simultaneously. The incompatibility makes SM-MIMO impractical for real-world telecommunications.

FIG. 7 shows a scheme of performing subcarrier-index modulation on OFDM-IM. Although OFDM-IM is inherently compatible with OFDM-based systems, it does not exploit the degree-of-freedom that MIMO can provide wisely. Those unselected and inactive subcarriers will not be able to transmit at all.

This invention proposes methods of beam-indexed spatial modulation (BISM) to resolve the above issues. This invention can adopt the combinations of MIMO channel eigen-modes to carry out index modulation. Thus, the low processing speed and incompatibility issues occurred in SM-MIMO can be solved. Additionally, the present invention provides a higher degree of efficiency with respect to spectrum and energy comparing to OFDM-IM.

In the context of MIMO, the eigen-modes are independent spatial channels in the MIMO channel decomposition systems. Each of the eigen-modes carries independent data stream in the MIMO communication system. In a MIMO-OFDM system, the maximum number of data streams in each subcarrier represents the degree-of-freedom of the system. The combinations of the selected data streams are encoded for index modulation in BISM.

Additionally, unlike OFDM-IM, the proposed BISM achieves a higher degree of efficiency with respect to energy (bps/Joule) and/or spectrum (bps/Hz) in view of different channels and system configurations. With comparison to conventional MIMO-OFDM, BISM improves the efficiencies of spectrum and energy and provides a higher degree of flexibility.

The following paragraphs will discuss the features and advantages that BISM can achieve as well as analysis results of performance simulations and capacity.

Assuming a MIMO channel has N_(T) transmitting antennas and N_(R) receiving antenna. Further, defining N_(B) as the number of channel ranks of the MIMO channel and n_(B) as the number of transmit beam in every transmission. It is noted that N_(T)>N_(B)>n_(B)>1. It should also be noted that there are many alternatives to generate the transmit beams; they will be discussed below.

In one embodiment, the transmit beams can be generated by adopting singular value decomposition (SVD) to decompose the channel matrix H∈C^(N) ^(T) ^(×N) _(R). The channel matrix H is:

H=UΛ ^(H)=Σ_(i+1) ^(N) ^(B) σ_(i) u _(i) v _(i) ^(H)

U and V are unitary matrices and the column vectors of U and V are orthonormal. The Σ is an N_(B)×N_(B) diagonal matrix with singular values σ₁, σ₂, . . . , σ_(N) _(B) of the channel. Each sub-channel H_(i) is obtained by H_(i)=σ_(i)u_(i)v_(i) ^(H), wherein i=1, 2, . . . , N_(B) representing the i-th eigen-mode as well as the i-th eigen beam.

In one embodiment, the transmit beam can be obtained by using φ_(ti) (angle of departure) and φ_(ri) (angle of arrival) to decompose the channel matrix H. The channel matrix H can be decomposed by the angular steering vectors and is represented by

$H = {\sum\limits_{i = 1}^{N_{B}}\; {a_{i}{e_{r}\left( \Omega_{ri} \right)}{e_{t}^{*}\left( \Omega_{ti} \right)}}}$

a_(i) is an attenuation of the ith beam, e_(t) is a vector of angle of departure which equation is:

${e_{t}\left( \Omega_{ti} \right)} = {\frac{1}{\sqrt{N_{T}}}\left\lbrack {1,{\exp \left( {{- j}\; 2{\pi\Delta}_{t}\Omega_{ti}} \right)},{\exp \left( {{- j}\; 2\pi \; 2\Delta_{t}\Omega_{ti}} \right)},\ldots,{\exp \left( {{- j}\; 2{\pi \left( {N_{T} - 1} \right)}\Delta_{t}\Omega_{ti}} \right)}} \right\rbrack}^{T}$

Additionally, e_(r) is a vector of angle of arrival which equation is:

${e_{r}\left( \Omega_{ri} \right)} = {\frac{1}{\sqrt{N_{T}}}\begin{matrix} \left\lbrack {1,{\exp \left( {{- j}\; 2{\pi\Delta}_{r}\Omega_{ri}} \right)},{\exp \left( {{- j}\; 2\pi \; 2\Delta_{r}\Omega_{ri}} \right)},\ldots,} \right. \\ \left. {\exp \left( {{- j}\; 2{\pi \left( {N_{R} - 1} \right)}\Delta_{r}\Omega_{ri}} \right)} \right\rbrack^{T} \end{matrix}}$

where Δ_(i) is the distance between the antennas at the transmitter, Δ_(r) is the distance between the antennas the receiver, Ω_(ti)=cos(φ_(ti)) is cosine of the angel of departure at the transmitter, and Ω_(ri)=cos(φ_(ri)) is cosine of the angle of arrival at the receiver. Each sub-channel H_(i) is obtained by H_(i)=a_(i)e_(r)(Ω_(ri))e_(t)*(Ω_(ti)), i=1, . . . , N_(B) representing the i-th angular beam.

The transmitter beamformer can allocate a power on the n_(B) transmit beams (out of N_(B) beams) at every transmission. The receiver can detect the reliability in the spatial domain by using the independent spatial signatures H₁. Therefore, the achievable rate R_(BISM) can be represented by the spatial bits and the n_(B) streams of signal bits:

$R_{BISM} = {\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{B} \\ n_{B} \end{pmatrix}} \right\rfloor + {n_{B}\mspace{14mu} \log_{2}\mspace{14mu} M}}$

The first term on the right-hand side of the above R_(BISM) equation is the spatial bits through generalized spatial modulation in the beam space. The second term is M-ary amplitude-phase modulation through n_(B) spatial multiplexing.

The BISM codebook can be designed in accordance with the transmission sub-channel. The number of data streams equals to n_(B) plus one stream provided for the index modulated spatial bits. The spatial bits determine the active eigen-beams for transmitting M-QAM symbols, and the inactive eigen-beams send over null signal space.

FIG. 8 shows a BISM scheme of the present invention. Assuming the number of channel ranks N_(B) equals to four (N_(B)=4), and the number of transmit beams n_(B) equals to 3 (n_(B)=3). Thus, a number of stream (i.e. N_(S)) for BISM transmission can be designed accordingly: N_(S)=n_(B)+1 (i.e. in this case, N_(S)=4).

Table 2 demonstrates a BISM spatial constellation based on eigen decomposition with the previous assumptions: N_(B)=4, n_(B)=3. It should be noted that x_(i) is the QAM modulated symbol and i=1, 2, . . . , n_(B).

Selected eigen- Spatial BISM beam index bits Sub-channel codeword 1, 2, 3 00 Σ_(i∈{1, 2, 3}) H_(i) = [x₁, x₂, x₃, 0]^(T) Σ_(i∈{1, 2, 3}) σ_(i)u_(i)v_(i) ^(H) 1, 2, 4 01 Σ_(i∈{1, 2, 4}) H_(i) = [x₁, x₂, 0, x₃]^(T) Σ_(i∈{1, 2, 4}) σ_(i)u_(i)v_(i) ^(H) 1, 3, 4 10 Σ_(i∈{1, 3, 4}) H_(i) = [x₁, 0, x₂, x₃]^(T) Σ_(i∈{1, 3, 4}) σ_(i)u_(i)v_(i) ^(H) 2, 3, 4 11 Σ_(i∈{2, 3, 4}) H_(i) = [0, x₁, x₂, x₃]^(T) Σ_(i∈{2, 3, 4}) σ_(i)u_(i)v_(i) ^(H) Table 2 demonstrates a BISM spatial constellation based on the previous assumptions

Assuming the spatial bits in transmitted data is binary constituted by “10”. The sub-channels H₁, H₃, H₄ containing the 1^(st), 3^(rd), and 4^(th) eigen-beams (or eigen-modes) are selected to transmit signals. The BISM codeword uses the corresponding stream index to carry different QAM modulated symbols, such as [x₁, 0, x₃, x₄]^(T). As discussed, SVD is adopted to decompose the channel matrix, the effective channel, composed of the precoder, channel and combiner, is equivalent to parallel channel (e.g. diagonal matrix). Each symbol in the codeword maps to the corresponding eigen-beam; thus, the eigen-beam can be selected by using difference codeword.

BISM originated from spatial modulation (SM) and generalized spatial modulation (GSM). BISM is advantageous over SM-MIMO and OFDM-IM because it uses eigen-beam selection rather than antenna selection to represent the spatial bits. The advantages of BISM include but no limit to the following:

i) it provides an enhanced transmission data rate without hardware constraint caused by antenna switch;

ii) it is compatible with MIMO-OFDM system;

iii) it is energy efficient;

iv) it provides a better performance of bit error rate (BER);

v) the trade-off between spectral efficiency (SE) and energy efficiency (EE) is balanced; and

vi) it is compatible with multiuser MIMO-OFDM systems.

Enhanced Transmission Data Rate without Hardware Constraint Caused by Antenna Switch

As discussed, the processing speed of index modulation bit is restrained by antenna switching in SM-MIMO. However, BISM uses eigen-beam combinations to represent spatial bits. Therefore, instead of switching antennas on and off, the eigen-beam combinations can be configured in the baseband.

Further, the transmission data rate in BISM is as fast as the system's symbol rate determined by channel bandwidth. For example in IEEE 802.11a, the bandwidth for each sub-channel and the symbol rate can be as high as 20 MHz. On the other hand, in SM-MIMO systems, the index bit transmission rate is dominated by the antenna switching rate which is as slow as 2000 times of switching per second. Hence, in the absence of antenna switching restriction, BISM helps to enhance the index bit transmission rate than the SM-MIMO system by 10⁴ times faster.

MIMO-OFDM System Compatibility

The issue of SM-MIMO's incompatibility with MIMO-OFDM has been iterated. The reason is the subcarriers in OFDM system are vulnerably affected by the antenna index selection. The BISM of the present invention exploits the combinations of eigen-beams for index modulation. The eigen-beams are equivalent to the MIMO channel eigen-modes in each of the subcarriers in MIMO-OFDM system.

FIG. 9 shows an example of performing BISM on MIMO-OFDM system (“MIMO-OFDM-BISM”). Assuming N_(B)=4 and n_(B)=3. Additionally, each eigen-mode carries one independent data stream; the combinations of data stream index carry the index modulation in baseband.

Energy Efficiency

Unlike conventional MIMO system having N_(B) ranks, MIMO-OFDM-BISM of the present invention selects a subset of n_(B) ranks for the transmission of M-ary QAM symbols. Although less ranks (or data streams) are used to transmit data, BISM nevertheless is capable of carrying extra spatial bits by index modulation. Assuming a fixed power P is given to each data stream of conventional MIMO and MIMO-OFDM-BISM systems. Although in both scenarios the BER of M-ary QAM symbols in each data stream of MIMO-OFDM-BISM system remains the same, the overall power consumption after performing BISM is down to n_(B)/N_(B).

FIG. 10 exemplarily demonstrates performing BISM on MIMO system (“MIMO-BISM”). Assuming N_(B)=4 and n_(B)=3. Further assuming that a fixed power is given to each data stream, the overall power consumption is then down to 3/4 after performing BISM.

Bit Error Rate (BER) Performance

FIG. 11 illustrates the comparison of BER performance in both conventional MIMO and MIMO-BISM scenarios. It appears that the MIMO-BISM system can achieve the same BER as the conventional MIMO system (without BISM) but with lower E_(b)/N₀. For instance, assuming the transmission rate for transmitting a subcarrier is 8-bit and three transmitted data streams (N_(B)=3) are chosen, the MIMO-BISM system shows the performance of −1.21 dB E_(b)/N₀ at 10⁻⁵ BER. The lower E_(b)/N₀ value shows BISM can effectively increase energy efficiency.

Spectral Efficiency (SE) and Energy Efficiency (EE) Trade-Off

The question of how to balance between spectral efficiency (SE) and energy efficiency (EE) is a common question concerning in wireless communication systems. In BISM, assuming n_(B)=N_(B)−1, the achievable rate R_(BISM) is:

${R_{BISM} = {{\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{B} \\ {N_{B} - 1} \end{pmatrix}} \right\rfloor + {\left( {N_{B} - 1} \right)\mspace{14mu} \log_{2}\mspace{14mu} M}} = {{\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{B} \\ 1 \end{pmatrix}} \right\rfloor + {\left( {N_{B} - 1} \right)\mspace{14mu} \log_{2}\mspace{14mu} M}} \geq {N_{B}\mspace{14mu} \log_{2}\mspace{14mu} M}}}},{{{if}\mspace{14mu} N_{B}} \geq M}$

It is noted that M is the order of M-QAM modulation symbols. As far as spectral efficiency is concerned, if N_(B)≥M, then a more spatial bits can be obtained by performing BISM than using a mere spatial multiplexing in conventional MIMO. In such instance, only N_(T)−1 RF chains are used so as to reduce the complexity of fully turn-on spatial multiplexing.

In another extreme case where only one beam is active. The achievable rate R_(BISM) is:

$R_{BISM} = {\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{B} \\ 1 \end{pmatrix}} \right\rfloor + {\log_{2}\mspace{14mu} M}}$

In the extreme case, BISM is equivalent to spatial modulation, featuring with low complexity and high energy efficiency (bps/Joule).

FIG. 12(a) shows the trade-off between SE and EE. Assuming there are five data stream (N_(S)=5) and the active data streams n_(B) are 4, 3, 2 and 1. It should be noted that if n_(B)=N_(S)=4, that means a comparison is made between a conventional MIMO and a MIMO-BISM systems.

The active data streams are loaded with M-ary QAM modulation symbols. Assuming various modulations including BPSK, QPSK, 16-QAM and 32-QAM are all considered. It appears that a higher degree of spectral efficiency can be achieved in both conventional MIMO and MIMO-BISM systems when a higher order M-ary QAM presents. As shown in FIG. 12(a), it appears that the MIMO-BISM system always has a higher EE than the conventional MIMO system if the same order of M-ary QAM symbols are loaded. With comparison to MIMO-BISM, the conventional MIMO system generally has a higher spectral efficiency. Also illustrated in FIG. 12(a), in some cases the MIMO-BISM system can still have a higher spectral efficiency even at a low order QAM.

Similarly, FIG. 12(b) illustrates trade-off between SE and EE in the condition where there are eight data stream (N₅=8) and the active data streams n_(B) are 8, 7, . . . and 1.

The capacity of BISM (C_(BISM)) can be expressed by the below equation contributed by the spatial domain (i.e. the first term at the right-hand side) and signal domain (i.e. the second term also at the right-hand side).

$C_{BISM} = {{\sum\limits_{i = 1}^{n_{B}}\; {\log_{2}\mspace{14mu} \left( \left| {I_{N_{B}} + {\frac{E_{S}}{N_{0}}\mspace{14mu} H_{i}H_{i}^{H}}} \right| \right)}} + {\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} N_{B} \\ n_{B} \end{pmatrix}} \right\rfloor \mspace{14mu} \left( {1 - P_{e,{bit}}} \right)}}$

The capacities from the two domains are traded off with each other, or reconfigurable with different setup of n_(B). In the absence of loss of generality, BISM sum rate can be expressed as the summation of n_(B) MIMO sub-channels and the index modulation bits throughput.

$P_{e,{bit}} \leq {\sum\limits_{j}{\sum\limits_{k}{\frac{d\left( {j,k} \right)}{M}2^{{2N_{R}} + 1}\left( \frac{N\left( {j,k} \right)}{n_{T}} \right)^{- N_{T}}\left( \frac{E_{s}}{N_{0}} \right)^{- N_{R}}}}}$

It is noted that E_(S) is the M-ary QAM symbol energy, N₀ is the variance of AWGN (additive white Gaussian) noise, d(j, k) is the number of bits in difference (or Hamming distance) between two index modulation codeword, and N(j, k) is the number of distinct columns between two sub-MIMO channels.

FIG. 13 shows ergodic capacities of a conventional MIMO and MIMO-BISM systems in view of various SNR. The grey part illustrates the distribution of MIMO-BISM, while the black part is that of the conventional MIMO.

As can be seen, when at the low SNR region, it is more spectral efficient to turn on less beams. On the other hand, as the increase of SNR, in order to achieve a higher data rate than that in MIMO, more beams need to be turned on. As mentioned early, in a high SNR scenario and when a sufficient number of data streams (n_(B)) are utilized, BISM's capacity increases proportionally and surpass the capacity of the conventional MIMO as more beam patterns being used. As more beam patterns are turned on, more diversity gains and multiplexing gains can be achieved.

Compatible with Multiuser MIMO-OFDM Systems

In a multi-user MIMO-OFDM communication system, the subcarriers are divided into sub-blocks as radio resources. The blocks of the radio resources are then allocated to multiple users for multiple accesses.

The BISM of the present invention exploits index modulation in the eigen-mode dimension which can consequently be compatible with the way in which resources are allocated in a multiuser MIMO-OFDM system. This makes BISM advantageous over SM-MIMO and OFDM-IM systems. The former cannot adopt the same resource allocation method, while the resource allocation of the latter is less flexible because OFDM-IM exploits index modulation in its subcarriers.

Exemplary Embodiments

General Diagram of Switchable System Between BISM and MIMO

FIG. 14 shows an exemplary system of performing BISM to a conventional MIMO (i.e. MIMO-BISM). The procoders F_(BB) and F_(RF), and combiners W_(BB) and W_(RF) in the system are decided by the channel information and hardware constraint. The reconfiguration mechanism determines to adopt either the MIMO-BISM or the conventional MIMO based on the channel information and user requirements. The settings of precoders and combiners are irrelevant to the switching between MIMO-BISM and the conventional MIMO. Therefore, it is feasible to apply BISM and reconfiguration mechanism to the current communication system.

BISM Realization Example for MIMO OFDM System

FIG. 15 is a block diagram showing how to performing BISM on a MIMO-OFDM having N subcarriers. In one embodiment, the number of data stream N_(S) equals to MIMO channel rank in each subcarrier. As for as the k-th (k=1, 2, . . . , N) subcarrier is concerned, the data vector d[k] of length N_(S) contains N_(S)−n_(B) digital modulation symbols (e.g. M-QAM symbol) and n_(B) null elements. By the beam index on the data vector, the

$\begin{pmatrix} N_{s} \\ n_{B} \end{pmatrix}\quad$

data vector patterns represent the spatial symbols. The transmit precoding symbol vector is:

x[k]=F _(BB) [k]d[k]

It is noted that F_(BB) [k] is a baseband precoder matrix. The post-IFFT symbol vector is s[n], n=1, 2, . . . , N where each element within s[n] is:

${{s_{l}\lbrack n\rbrack} = {\frac{1}{\sqrt{N}}{\sum\limits_{k = 0}^{N - 1}\; {{x_{l}\lbrack k\rbrack}e^{j\frac{2\pi}{N}{kn}}}}}},{l = 0},1,\ldots,{N_{s} - {1\,}}$

Assuming the system is operated with coherence time and coherence bandwidth, analog beamforming matrix (F_(RF)) of a hybrid beaming MIMO can be applied during one OFDM symbol.

The transmit symbol vector at time n is b[n] representing as b[n]=F_(RF)s[n], n=0, 1, . . . , N−1. It is noted that F_(RF) is the analog beamforming matrix. The received symbol vector on k-th subcarrier of an OFDM symbol at the receiver in a baseband is:

y[k]=W _(RF) H[k]F _(RF) F _(BB) [k]d[k]+W _(RF) n[k]

It is noted that H [k] is the frequency domain full channel matrix for the k-th subcarrier, W_(RF) is the analogy post-coder matrix and n[k] is the complex AWGN vector.

The MIMO channel in the k-th subcarrier, H[k], can be decomposed by using SVD, so that

H[k]=U[k]Σ[k]V ^(H) [k].

Additionally, the eigen-modes in each of the subcarriers are exploited in BISM for index modulation.

For example, as shown in FIG. 16, assuming BIMS is performing on a MIMO-OFDM system where there are four eigen-modes in each subcarrier, N_(S)=4, n_(B)=3 and x₁, x₂, x₃ are M-ary QAM. The location of zero is selected by the input bits with random distribution. As shown, each location of zero represents

$\left\lfloor {\log_{2}\mspace{14mu} \begin{pmatrix} {N_{s} = 4} \\ {n_{B} = 3} \end{pmatrix}} \right\rfloor = {2\mspace{14mu} {{bits}.\,}}$

Joint Design of BISM in OFDM-IM

The concept of BISM in the eigen-mode dimension can be implemented jointly with OFDM-IM as two-dimensional index modulation scheme. Assuming in a MIMO system there are N_(S) eigen-modes and N subcarriers dividing into G smaller and manageable OFDM-IM sub-block each containing N_(C) subcarriers to perform IM, wherein N=G*N_(c).

For each sub-block, n₀ out of N_(c) available subcarriers can be selected as the active subcarriers based on the index selection bits. Each of the active subcarriers sends over M-QAM modulation symbols based on the p₂ modulation bits.

For each OFDM-IM frame, the spectral efficiency R is

$R = {\left( {{\log_{2}\mspace{14mu} \begin{pmatrix} {N_{s}N_{c}} \\ n_{0} \end{pmatrix}} + {n_{0}{\log_{2}(M)}}} \right)G}$

FIG. 17 is an exemplary joint design of BISM and OFDM-IM where N_(s)=4, N_(c)=4, and n₀. Each resource block of N_(s)×N_(c) degree-of-freedoms can be exploited for index modulation. Thus, as shown in FIG. 17, there are N_(s)×N_(c)=4×4 degree-of-freedoms for index modulation.

The above-described embodiments of this invention are presented for purposes of illustration and not of limitation. Of course, those skilled in the art will recognize many modifications may be made to this configuration without departing from the scope of the disclosed aspects. 

1. A first method of beam-indexed spatial modulation (BISM) for a multiple-input and multiple output (MIMO) module having a transmitter end and a receiver end, comprising: step a) confirming that the MIMO module has a plurality of beams, the number of the plurality of beams is N_(B), each of the plurality of beams is an individual channel constituted by one of antennas at the transmitter end and one of antennas at the receiver end; step b) providing an index to the N_(B) beams through a N_(T)×N_(B) channel matrix H, wherein N_(T) are an integer number of a plurality of transmitting antennas and N_(R) are an integer number of a plurality of receiving antennas, which H is decomposed by the singular value decomposition and represented by $H = {{UAV}^{H} = {\sum\limits_{i = 1}^{N_{B}}\; {\sigma_{i}u_{i}v_{i}^{H}}}}$ wherein U is a unitary matrix, V is a unitary matrix, u_(i), i=1, . . . , N_(B), are column vectors of U, and v_(i), i=1, . . . , N_(B), are column vectors of V, and σ_(i)=σ₁, σ₂, . . . , σ_(N) _(B) are the largest N_(B) singular values in the singular value decomposition of H, wherein N_(B) is an integer, the channel H is represented by the sum of rank-one matrices σ_(i)u_(i)v_(i) ^(H) as Σ_(i=1) ^(N) ^(B) σ_(i)u_(i)v_(i) ^(H); step c) evaluating a communication condition of the plurality of beams and selecting a plurality of sub-channels, which number is n_(B), out of the individual channels of the plurality of beams as transmit beams, and transmitting a signal and the index via the antennas of the transmit beams at the transmitter end; and step d) receiving and recognizing the index at the receiver end, by the antennas, and further detecting the symbols of the transmit beams received at the receiver end.
 2. The method of claim 1, wherein the MIMO module is compatible with orthogonal frequency-division multiplexing (OFDM).
 3. The method of claim 1, wherein the index is represented by either a plurality of M-ary quadrature amplitude modulation symbols or a plurality of spatial bits.
 4. The method of claim 3, wherein the spatial bits are binary.
 5. The method of claim 1, wherein the number of the transmit beams equals to the number of the sub-channel, n_(B), plus one.
 6. The method of claim 5, wherein the index comprises a zero bit to represent those unselected sub-channels.
 7. A second method of beam-indexed spatial modulation (BISM) for a multiple-input and multiple output (MIMO) module having a transmitter end and a receiver end, comprising: step a) confirming that the MIMO module has a plurality of beams, the number of the plurality of beams is N_(B), each of the plurality of beams is an individual channel constituted by one of antennas at the transmitter end and one of antennas at the receiver end; step b) providing an index to the N_(B) beams through a channel matrix H which is decomposed by the angular steering vectors and represented by: $H = {\sum\limits_{i = 1}^{N_{B}}\; {a_{i}{e_{r}\left( \Omega_{ri} \right)}{e_{t}^{*}\left( \Omega_{ti} \right)}\square}}$ wherein a_(i) is an attenuation of the i-th beam, e_(t)(Ω_(ti)) is a vector of angle of departure representing by ${e_{t}\left( \Omega_{ti} \right)} = {\frac{1}{\sqrt{N_{T}}}\left\lbrack {1,{\exp \left( {{- j}\; 2{\pi\Delta}_{t}\Omega_{ti}} \right)},{\exp \left( {{- j}\; 2\pi \; 2\Delta_{t}\Omega_{ti}} \right)},\ldots,{\exp \left( {{- j}\; 2{\pi \left( {N_{T} - 1} \right)}\Delta_{t}\Omega_{ti}} \right)}} \right\rbrack}^{T}$ wherein the superscript T represents the transpose operation of a vector; e_(r) (Ω_(ri)) is a vector of angle of arrival representing by ${e_{r}\left( \Omega_{ri} \right)} = {\frac{1}{\sqrt{N_{T}}}\begin{matrix} \left\lbrack {1,{\exp \left( {{- j}\; 2{\pi\Delta}_{r}\Omega_{ri}} \right)},{\exp \left( {{- j}\; 2\pi \; 2\Delta_{r}\Omega_{ri}} \right)},\ldots,} \right. \\ \left. {\exp \left( {{- j}\; 2{\pi \left( {N_{R} - 1} \right)}\Delta_{r}\Omega_{ri}} \right)} \right\rbrack^{T} \end{matrix}}$ where Δ_(t) is the distance between the antennas at the transmitter, Δ_(r) is the distance between the antennas at the receiver, Ω_(ti)=cos(φ_(ti)) is cosine of the angle of departure at the transmitter, wherein φ_(ti) is an angle of departure at the transmitter, and Ω_(ri)=cos(φ_(ri)) is cosine of the angle of arrival at the receiver end, wherein φ_(ri) is an angle of arrival at the receiver, N_(T) are the number of a plurality of transmitting antennas and N_(R) are the number of a plurality of receiving antennas; and step c) evaluating a communication condition of the plurality of beams and selecting a plurality of sub-channels, which number is n_(B), out of the individual channels of the plurality of beams as transmit beams, and transmitting a signal and the index via the antennas of the transmit beams at the transmitter end; and step d) receiving and recognizing the index at the receiver end, by the antennas, and further detecting the symbols of the transmit beams received at the receiver end. 